dalinvip / pytorch_SRULinks
SRU implement in pytorch(Training RNNs as Fast as CNNs)
☆48Updated 2 years ago
Alternatives and similar repositories for pytorch_SRU
Users that are interested in pytorch_SRU are comparing it to the libraries listed below
Sorting:
- A pytorch implementation of the paper: "Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks"☆82Updated 6 years ago
- Pytorch implement WaveNet☆93Updated 7 years ago
- NLSTM Nested LSTM in Pytorch☆17Updated 7 years ago
- ☆40Updated 7 years ago
- Orkis-Research / Quaternion-Convolutional-Neural-Networks-for-End-to-End-Automatic-Speech-RecognitionThis is the code for the paper 'Quaternion Convolutional Neural Networks for End-to-End Automatic Speech Recognition'. It provides all th…☆66Updated 6 years ago
- A recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head atte…☆145Updated 7 years ago
- This is the code for the paper 'Quaternion Recurrent Neural Networks'.☆59Updated 6 years ago
- pytorch implementation of Independently Recurrent Neural Networks https://arxiv.org/abs/1803.04831☆121Updated 6 years ago
- A PyTorch implementation of : Language Modeling with Gated Convolutional Networks.☆101Updated 3 years ago
- ☆38Updated 8 years ago
- Pytorch implementation of R-Transformer. Some parts of the code are adapted from the implementation of TCN and Transformer.☆230Updated 6 years ago
- Keras implementation of “Gated Linear Unit ”☆23Updated last year
- This repository contain various types of attention mechanism like Bahdanau , Soft attention , Additive Attention , Hierarchical Attention…☆126Updated 3 years ago
- Implementation of IndRNN in Keras☆67Updated 5 years ago
- Training RNNs as fast as CNNs. An unofficial tensorflow implementation.☆33Updated 7 years ago
- PyTorch implementations of LSTM Variants (Dropout + Layer Norm)☆137Updated 4 years ago
- Training RNNs as Fast as CNNs (Simple Recurrent Unit)☆31Updated 7 years ago
- PyTorch implementation of Global Vectors for Word Representation.☆92Updated 7 years ago
- An implementation of the grid LSTM network for PyTorch☆18Updated 7 years ago
- Reversible Recurrent Neural Network Pytorch Implementation☆21Updated 7 years ago
- A PyTorch Implementation of "Quasi-Recurrent Neural Networks"☆46Updated 7 years ago
- Dilated RNNs in pytorch☆213Updated 6 years ago
- Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks (ICLR 2018)☆121Updated 2 years ago
- Re-implementation of the Noise Contrastive Estimation algorithm for pyTorch, following "Noise-contrastive estimation: A new estimation pr…☆44Updated 6 years ago
- Materials for implementing and reproducing results in the NIPS paper.☆23Updated 10 years ago
- pytorch neural network attention mechanism☆147Updated 6 years ago
- THEANO-KALDI-RNNs is a project implementing various Recurrent Neural Networks (RNNs) for RNN-HMM speech recognition. The Theano Code is c…☆33Updated 7 years ago
- Highway networks implemented in PyTorch.☆55Updated 8 years ago
- Adaptive embedding and softmax☆17Updated 3 years ago
- fairseq: Convolutional Sequence to Sequence Learning (Gehring et al. 2017) by Chainer☆67Updated 8 years ago